Contrast-enhanced ultrasound radiomics model for predicting axillary lymph node metastasis and prognosis in breast cancer: a multicenter study
The multimodal ultrasound radiomics model based on US, CDFI, and CEUS could effectively predict ALNM in breast cancer. Furthermore, the combined application of radiomics and immune inflammation markers might predict the DFS of breast cancer patients to some extent.
Authors
- M. LI
- Jun Kang Li
- Xiaohui Zou (ORCID: https://orcid.org/0000-0001-9563-0301)
- Rui Lan Niu
- Yu Shao
- Shun-Rong Huang
- Xun Gong (ORCID: https://orcid.org/0000-0003-4168-2768)
- Wei Wang (ORCID: https://orcid.org/0000-0002-9861-5577)
- Zhili Wang (ORCID: https://orcid.org/0000-0003-0403-5705)
- Naikuan Fu
- Zhi Ying Jin
- Yue Ming Li
- Shi Yu Li
Institutions
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Peking University (CN)
- Chinese PLA General Hospital (CN)
- Peking University First Hospital (CN)
- Chinese People's Liberation Army (CN)
Publication Details
- Journal
- BMC Cancer
- Published
- 2025-08-14
- DOI
- https://doi.org/10.1186/s12885-025-14632-9
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.36
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China